Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method.

ABSTRACT: The heart is an essential organ in the human body. It contains various types of cells, such as cardiomyocytes, mesothelial cells, endothelial cells, and fibroblasts. The interactions between these cells determine the vital functions of the heart. Therefore, identifying the different cell types and revealing the expression rules in these cell types are crucial. In this study, multiple machine learning methods were used to analyze the heart single-cell profiles with 11 different heart cell types. The single-cell profiles were first analyzed via light gradient boosting machine method to evaluate the importance of gene features on the profiling dataset, and a ranking feature list was produced. This feature list was then brought into the incremental feature selection method to identify the best

SUBMITTER: Ding S 

PROVIDER: S-EPMC8877019 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature